Optimal Multi-user Transmission based on a Single Intelligent Reflecting Surface

Liu, Y., Zhang, L. , Valente Klaine, P. and Imran, M. A. (2021) Optimal Multi-user Transmission based on a Single Intelligent Reflecting Surface. In: 2021 IEEE 4th International Conference on Electronic Information and Communication Technology (ICEICT), Xi'an, China, 18-20 Aug 2021, ISBN 9781665432030 (doi: 10.1109/ICEICT53123.2021.9531152)

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Abstract

Intelligent Reflecting Surface (IRS) is envisioned as a revolutionary solution for providing high data rate communication, better signal coverage and physical layer security through controlling the transmission environment of electromagnetic (EM) wave. In this paper, based on a single IRS and millimeter channel model, the optimal multi-user transmission sum rate is derived with the maximal ratio combining (MRC) beamformer. The conditions to achieve such a maximum sum rate are expressed as a function of placement of transceivers, number of IRS elements and its spacing. We first transformed the single IRS assisted non-scattering mmWave channel into a high-rank multiple-in multiple-out (MIMO) channel. The result shows that even without rich scattering, each single antenna user can enjoy the maximal passive beamforming gain while keeping spatial orthogonality to leverage the maximal spatial diversity when the corresponding conditions are satisfied. Simulation results verify the existence and accuracy of optimal placement of multi-user transmission and present that the transmission sum rate of IRS channel scales by the number of IRS elements with different spacing settings.

Item Type:Conference Proceedings
Additional Information:This paper won the "Best Paper Award".
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Liu, Yihong and Zhang, Professor Lei and Imran, Professor Muhammad and Valente Klaine, Mr Paulo
Authors: Liu, Y., Zhang, L., Valente Klaine, P., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
ISBN:9781665432030
Copyright Holders:Copyright © 2021 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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